Question: Misinterpretation is a common problem when using statistical information. It may be caused by a number of factors, such as misunderstanding the data, using incomparable
Misinterpretation is a common problem when using statistical information. It may be
caused by a number of factors, such as misunderstanding the data, using incomparable
definitions, or even deliberately misinterpreting the information. Please describe
two recent examples in real life where statistics are misinterpreted. Explain in detail
how they are misinterpreted and what should be the correct interpretation.
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